Knowledge Engineering

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学習するスキル

Bayesian Network, Graphical Model, Markov Random Field

レビュー

4.6 (1,403 件の評価)

  • 5 stars
    74.76%
  • 4 stars
    17.74%
  • 3 stars
    5.20%
  • 2 stars
    0.99%
  • 1 star
    1.28%

MB

2018年8月30日

Excellent course, the effort of the instructor is well reflected in the content and the exercices. A must for every serious student on (decision theory or markov random fields tasks.

AK

2016年11月12日

Superb exposition. Makes me want to continue learning till the very end of this course. Very intuitive explanations. Plan to complete all courses offered in this specialization.

レッスンから

Knowledge Engineering & Summary

This module provides an overview of graphical model representations and some of the real-world considerations when modeling a scenario as a graphical model. It also includes the course final exam.

講師

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    Daphne Koller

    Professor

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